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We investigate the behavior of dynamic shape design problems for fluid flow at large time horizon. In particular, we shall compare the shape solutions of a dynamic shape optimization problem with that of a stationary problem and show that…

Optimization and Control · Mathematics 2022-10-21 John Sebastian H. Simon

Determining functionals are tools to describe the finite dimensional long-term dynamics of infinite dimensional dynamical systems. There also exist several applications to infinite dimensional {\em random} dynamical systems. In these…

Dynamical Systems · Mathematics 2016-08-16 Igor Chueshov , Jinqiao Duan , Björn Schmalfuß

Uncovering the underlying ordinary differential equations (ODEs) that govern dynamic systems is crucial for advancing our understanding of complex phenomena. Traditional symbolic regression methods often struggle to capture the temporal…

Machine Learning · Computer Science 2025-06-24 Yang Chang , Kuang-Da Wang , Ping-Chun Hsieh , Cheng-Kuan Lin , Wen-Chih Peng

Solution of Ordinary Differential Equation (ODE) model of dynamical system may not agree with its observed values. Often this discrepancy can be attributed to unmodeled forcings in the evolution rule of the dynamical system. In this…

Computational Engineering, Finance, and Science · Computer Science 2021-08-13 Saurabh Dixit , Soumyendu Raha

The so-called 'direct' approach to separation of variables in linear PDEs is applied to the hydrodynamic stability problem. Calculations are made for the complete linear stability equations in cylindrical coordinates. Several classes of the…

Fluid Dynamics · Physics 2007-05-23 Georgy Burde , Alexander Zhalij

We propose Characteristic-Neural Ordinary Differential Equations (C-NODEs), a framework for extending Neural Ordinary Differential Equations (NODEs) beyond ODEs. While NODEs model the evolution of a latent variables as the solution to an…

Machine Learning · Computer Science 2022-11-10 Xingzi Xu , Ali Hasan , Khalil Elkhalil , Jie Ding , Vahid Tarokh

In the first part of the note we analyze the long time behaviour of a two dimensional stochastic Navier--Stokes equations system on a torus with a degenerate, one dimensional noise. In particular, for some initial data and noises we…

Probability · Mathematics 2021-08-27 Z. Brzeźniak , T. Komorowski , S. Peszat

We consider the motion of an axisymmetric column of Navier-Stokes fluid with a free surface. Due to surface tension, the thickness of the fluid neck goes to zero in finite time. After the singularity, the fluid consists of two halves, which…

Fluid Dynamics · Physics 2009-11-07 Jens Eggers

For a generic discrete-time algorithm (DTA): $z^+=g(z,s)$, where $s$ is the step size, Lu (Math. Program., 194(1):1061--1112, 2022) proposed an $O(s^r)$-resolution ordinary differential equation (ODE) framework based on the backward error…

Optimization and Control · Mathematics 2026-03-10 Lixia Wang , Hao Luo

We establish a solution theory for the incompressible Navier--Stokes--Fourier system with thermal noise, posed on the three-dimensional torus. While in the incompressible deterministic setting the equation for the velocity can be solved…

Probability · Mathematics 2026-03-30 Benjamin Gess , Max Sauerbrey , Zhengyan Wu

This paper is concerned with the large-time behavior of solutions to the initial and initial boundary value problems with large initial data for the compressible Navier-Stokes system describing the one-dimensional motion of a viscous…

Analysis of PDEs · Mathematics 2024-06-11 Jing Li , Zhilei Liang

In this paper, we consider a damped Navier-Stokes-Bardina model posed on the whole three-dimensional. These equations have an important physical motivation and they arise from some oceanic model. From the mathematical point of view, they…

Analysis of PDEs · Mathematics 2021-07-27 Manuel Fernando Cortez , Oscar Jarrín

In the continuum flow regime, the Navier-Stokes equations are usually used for the description of gas dynamics. On the other hand, the Boltzmann equation is applied for the rarefied gas dynamics. Both equations are constructed from modeling…

Fluid Dynamics · Physics 2017-03-08 Kun Xu , Chang Liu

We introduce an analogue to Kato's Criterion regarding the inviscid convergence of stochastic Navier-Stokes flows to the strong solution of the deterministic Euler equation. Our assumptions cover additive, multiplicative and transport type…

Probability · Mathematics 2023-08-16 Daniel Goodair , Dan Crisan

The Navier-Stokes-Voigt model of viscoelastic incompressible fluid has been recently proposed as a regularization of the three-dimensional Navier-Stokes equations for the purpose of direct numerical simulations. Besides the kinematic…

Mathematical Physics · Physics 2009-10-09 Fabio Ramos , Edriss S. Titi

We develop an efficient, unconditionally stable, variable step second order exponential time differencing scheme for the incompressible Navier Stokes equations in two and three spatial dimensions under periodic boundary conditions, together…

Numerical Analysis · Mathematics 2026-02-24 Haifeng Wang , Xiaoming Wang , Min Zhang

We study a finite-element based space-time discretisation for the 2D stochastic Navier-Stokes equations in a bounded domain supplemented with no-slip boundary conditions. We prove optimal convergence rates in the energy norm with respect to…

Numerical Analysis · Mathematics 2022-10-06 Dominic Breit , Andreas Prohl

Certain solutions of autonomous PDEs without any boundary conditions describing the spatiotemporal evolution of a dependent variable in an unbounded spatial domain can be characterised as a travelling wave moving with constant speed. In the…

Exactly Solvable and Integrable Systems · Physics 2023-10-17 Johannes G. Borgqvist , Fredrik Ohlsson , Xingjian Zhou , Ruth E. Baker

We investigate the problem of classification of solutions for the steady Navier-Stokes equations in any cone-like domains. In the form of separated variables, $$u(x,y)=\left( \begin{array}{c} \varphi_1(r)v_1(\theta) \varphi_2(r)v_2(\theta)…

Analysis of PDEs · Mathematics 2021-08-17 Wendong Wang , Jie Wu

In this paper we analyze the theoretical properties of a stochastic representation of the incompressible Navier-Stokes equations defined in the framework of the modeling under location uncertainty (LU). This setup built from a stochastic…

Analysis of PDEs · Mathematics 2023-02-01 Arnaud Debussche , Berenger Hug , Etienne Memin
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